Botnet detection using graph-based feature clustering

Botnet detection using graph-based feature clustering

Abstract Detecting botnets in a network is crucial because bots impact numerous areas such as cyber security, finance, health care, law enforcement, and more. Botnets are becoming more sophisticated and dangerous day-by-day, and most of the existing rule based and flow based detection methods may no...

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Bibliographic Details
Main Authors: Sudipta Chowdhury, Mojtaba Khanzadeh, Ravi Akula, Fangyan Zhang, Song Zhang, Hugh Medal, Mohammad Marufuzzaman, Linkan Bian
Format: Article
Language:English
Published: SpringerOpen 2017-05-01
Series:Journal of Big Data
Subjects:
Cyber security
Bot detection
Graph-based features
Clustering
Online Access:http://link.springer.com/article/10.1186/s40537-017-0074-7

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http://link.springer.com/article/10.1186/s40537-017-0074-7

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